Acer Swift SF14-11
Geekbench AI Score
2092
Single Precision Score
11089
Half Precision Score
22179
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 11:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-11 |
| Motherboard | SX1 Bluetang_SX1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
720
133.9 IPS |
|
|
Image Classification (HP)
|
100% |
11061
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
17647
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7723
125.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9422
153.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5941
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
69736
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
241664
283.3 IPS |
|
|
Object Detection (SP)
|
100% |
896
71.1 IPS |
|
|
Object Detection (HP)
|
100% |
10903
864.8 IPS |
|
|
Object Detection (Q)
|
82% |
15655
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
22761
270.5 IPS |
|
|
Face Detection (Q)
|
97% |
46152
550.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2560
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
41148
317.0 IPS |
|
|
Depth Estimation (Q)
|
74% |
86512
703.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14182
18.2 IPS |
|
|
Style Transfer (HP)
|
23% |
2778
95.6 IPS |
|
|
Style Transfer (Q)
|
98% |
183719
236.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30506
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43905
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (Q)
|
95% |
3693
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2770
47.7 IPS |
|
|
Machine Translation (Q)
|
37% |
385
37.5 IPS |
